by facebookresearch

facebookresearch / fvcore

Collection of common code that's shared among different research projects in FAIR computer vision te...

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fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks developed in FAIR, such as Detectron2. This library is based on Python 3.6+ and PyTorch. All the components in this library are type-annotated, tested, and benchmarked.

The computer vision team in FAIR is responsible for maintaining this library.


fvcore requires python >= 3.6.

Use one of the following ways to install:

1. Install from PyPI (updated nightly)

pip install -U fvcore

2. Install from Anaconda Cloud (updated nightly)

conda install -c conda-forge yacs
conda install -c fvcore fvcore

3. Install latest from GitHub

pip install -U 'git+https://github.com/facebookresearch/fvcore'

4. Install from a local clone

git clone https://github.com/facebookresearch/fvcore
pip install -e fvcore


This library is released under the Apache 2.0 license.

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